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DBMS > ArcadeDB vs. OrigoDB vs. Spark SQL vs. SpatiaLite

System Properties Comparison ArcadeDB vs. OrigoDB vs. Spark SQL vs. SpatiaLite

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLite
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Object oriented DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitearcadedb.comorigodb.comspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.arcadedb.comorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperArcade DataRobert Friberg et alApache Software FoundationAlessandro Furieri
Initial release20212009 infounder the name LiveDB20142008
Current releaseSeptember 20213.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#ScalaC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
server-less
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infocan be achieved using .NETnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesJava.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole based authorizationnono

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More resources
ArcadeDBOrigoDBSpark SQLSpatiaLite
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